Characterization of biologically relevant network structures form time-series data

High-throughput data acquisition in synthetic biology leads to an abundance of data that need to be processed and aggregated into useful biological models. Building dynamical models based on this wealth of data is of paramount importance to understand and optimize designs of synthetic biology constructs. However, building models manually for each data set is inconvenient and might become infeasible for highly complex synthetic systems. In this paper, we present state-of-the-art system identification techniques and combine them with chemical reaction network theory (CRNT) to generate dynamic models automatically. On the system identification side, Sparse Bayesian Learning offers methods to learn from data the sparsest set of dictionary functions necessary to capture the dynamics of the system into ODE models; on the CRNT side, building on such sparse ODE models, all possible network structures within a given parameter uncertainty region can be computed. Additionally, the system identification process can be complemented with constraints on the parameters to, for example, enforce stability or non-negativity---thus offering relevant physical constraints over the possible network structures. In this way, the wealth of data can be translated into biologically relevant network structures, which then steers the data acquisition, thereby providing a vital step for closed-loop system identification

Analisis Kapasitas Produksi Excavator pada Proyek Perumahan Pertamina Cibubur

Ketepatan dalam dalam memilih alat berat sangat mempengaruhi produktifitas alat berat tersebut. Maka dipilih alat berat yang dianggap cocok untuk galian yaitu excavator. Tujuan penelitian adalah mengetahui efisiensi kerja excavator berproduksi per-jam, jumlah kubikasi material tanah, kecepatan dan biaya yang diperlukan pada proyek. Penelitian ini dilakukan dengan metode observasi di lapangan dan studi literatur dengan mengacu pada data primer dan data sekunder yang telah ada. Berdasarkan penelitian maka diketahui kapasitas excavatror pada galian adalah 167 m3/jam, jumlah volume pekerjaan pada galian tanah adalah sebesar 21.070 m3, waktu yang diperlukan untuk pekerjaan galian tanah adalah 16 hari, biaya yang dibutuhkan dalam pelaksanaan pekerjaan galian tanah 21.070 m3 adalah Rp. 47.472.000,-. . Kata kunci: kapasitas produksi, excavator, galian tana

Molecular research on the genetic diversity of Tunisian date palm (Phoenix dactylifera L.) using the random amplified microsatellite polymorphism (RAMPO) and amplified fragment length polymorphism (AFLP) methods

The genetic diversity organization and evaluation of relationships within Tunisian date-palm cultivars were assessed using the random amplified microsatellite polymorphism (RAMPO) and amplified fragment length polymorphism (AFLP) methods. 18 combinations of random/ISSR primers and six AFLP primers combinations were tested with DNAs isolated from 40 date-palm cultivars. Our results show that using both markers systems, the Tunisian date-palm germplasm is characterized by a large and continuous genetic diversity. In addition, due to the greater number of markers per assay, the AFLP technique seems to be more informative than the RAMPO method. In fact, 186 and 428 polymorphic bands were detected using RAMPO and AFLP primers, respectively. Moreover, AFLP markers were found most polymorphic with the highest average PIC value (0.7) and marker index (50.54). In addition, independent as well as combined analyses of the cluster analyses of the RAMPO and AFLP fragments showed that cultivars are clustered independently from the sex of trees or else their geographical origin. On the other hand, based on Pearson and Spearman correlation between RAMPO and AFLP distance, matrices were positive and highly significant. This result indicates good congruence between these two molecular markers. The opportunity of the designed methods is discussed with the molecular characterization of genotypes in order to enhance the conservation and the improvement of the local date-palm germplasm.Key words: Phoenix dactylifera, genetic diversity, random amplified microsatellite polymorphism (RAMPO), amplified fragment length polymorphism (AFLP), Tunisian

The impact of novel coronavirus (2019-nCoV) pandemic movement control order (MCO) on dengue cases in Peninsular Malaysia

This study has highlighted the trend of recently-reported dengue cases after the implementation of the Movement Control Orders (MCOs) caused due to COVID-19 pandemic in Malaysia. The researchers used the dengue surveillance data published by the Malaysian Ministry of Health during the 3 phases of MCO (which ranged between 17th March 2020 and 28th April 2020) was used for determining the cumulative number of dengue patients. Thereafter, the dengue cases were mapped using the Geographical Information System (GIS). The results indicated that during the 42 days of MCO in Peninsular Malaysia, 11,242 total cases of dengue were reported. The daily trend of the dengue cases showed a decrease from 7268 cases that occurred before the MCOs to 4662 dengue cases that occurred during the initial 14 days of the COVID-19 pandemic (i.e., MCO I), to 3075 cases occurring during the MCO II and 3505 dengue cases noted during MCO III. The central peninsular region showed a maximal decrease in new dengue cases (52.62%), followed by the northern peninsular region (1.89%); eastern coastal region (1.25%) and the southern peninsular region (1.14%) during the initial MCO implementation. However, an increase in the new dengue cases was noted during the MCO III period, wherein all states showed an increase in the new dengue cases as compared during MCO II. The decrease in the pattern was not solely based on the MCO, hence, further investigation is necessary after considering different influencing factors. These results have important implication for future large-scale risk assessment, planning and hazard mitigation on dengue management

Evaluation of health workforce competence in maternal and neonatal issues in public health sector of Pakistan: an Assessment of their training needs

<p>Abstract</p> <p>Background</p> <p>More than 450 newborns die every hour worldwide, before they reach the age of four weeks (neonatal period) and over 500,000 women die from complications related to childbirth. The major direct causes of neonatal death are infections (36%), Prematurity (28%) and Asphyxia (23%). Pakistan has one of the highest perinatal and neonatal mortality rates in the region and contributes significantly to global neonatal mortality. The high mortality rates are partially attributable to scarcity of trained skilled birth attendants and paucity of resources. Empowerment of health care providers with adequate knowledge and skills can serve as instrument of change.</p> <p>Methods</p> <p>We carried out training needs assessment analysis in the public health sector of Pakistan to recognize gaps in the processes and quality of MNCH care provided. An assessment of Knowledge, Attitude, and Practices of Health Care Providers on key aspects was evaluated through a standardized pragmatic approach. Meticulously designed tools were tested on three tiers of health care personnel providing MNCH in the community and across the public health care system. The Lady Health Workers (LHWs) form the first tier of trained cadre that provides MNCH at primary care level (BHU) and in the community. The Lady Health Visitor (LHVs), Nurses, midwives) cadre follow next and provide facility based MNCH care at secondary and tertiary level (RHCs, Taluka/Tehsil, and DHQ Hospitals). The physician/doctor is the specialized cadre that forms the third tier of health care providers positioned in secondary and tertiary care hospitals (Taluka/Tehsil and DHQ Hospitals). The evaluation tools were designed to provide quantitative estimates across various domains of knowledge and skills. A priori thresholds were established for performance rating.</p> <p>Results</p> <p>The performance of LHWs in knowledge of MNCH was good with 30% scoring more than 70%. The Medical officers (MOs), in comparison, performed poorly in their knowledge of MNCH with only 6% scoring more than 70%. All three cadres of health care providers performed poorly in the resuscitation skill and only 50% were able to demonstrate steps of immediate newborn care. The MOs performed far better in counselling skills compare to the LHWs. Only 50 per cent of LHWs could secure competency scale in this critical component of skills assessment.</p> <p>Conclusions</p> <p>All three cadres of health care providers performed well below competency levels for MNCH knowledge and skills. Standardized training and counselling modules, tailored to the needs and resources at district level need to be developed and implemented. This evaluation highlighted the need for periodic assessment of health worker training and skills to address gaps and develop targeted continuing education modules. To achieve MDG4 and 5 goals, it is imperative that such deficiencies are identified and addressed.</p

An Integrated Decision-Support Information System on the Impact of Extreme Natural Hazards on Critical Infrastructure

In this paper, we introduce an Integrated Decision-Support Tool (IDST v2.0) which was developed as part of the INFRARISK project (https://www.infrarisk-fp7.eu/). The IDST is an online tool which demonstrates the implementation of a risk-based stress testing methodology for analyzing the potential impact of natural hazards on transport infrastructure networks. The IDST is enabled with a set of software workflow processes that allow the definition of multiple cascading natural hazards, geospatial coverage and impact on important large infrastructure, including those which are critical to transport networks in Europe. Stress tests on these infrastructure are consequently performed together with the automated generation of useful case study reports for practitioners. An exemplar stress test study using the IDST is provided in this paper. In this study, risks and consequences of an earthquake-triggered landslide scenario in Northern Italy is described. Further, it provides a step-by-step account of the developed stress testing overarching methodology which is applied to the impact on a road network of the region of interest

Trap States Ruling Photoconductive Gain in Tissue-Equivalent, Printed Organic X-Ray Detectors

Organic semiconductors are excellent candidates for X-ray detectors that can adapt to new applications, with unique properties including mechanical flexibility and the ability to cover large surfaces. Their chemical composition, primarily carbon and hydrogen, makes them human tissue equivalent in terms of radiation absorption. This is a highly desirable property for a radiation dosimeter to be employed in medical diagnostics and therapy, however a low-Z composition limits the absorption of ionizing radiation. The detection efficiency can be enhanced by considering the photoconductive gain (PG) effect, a significant contributor to the ionizing radiation detection mechanism in this class of materials. In this work, a process of controlled solution deposition by nozzle printing and crystallization of an organic semiconductor thin film is demonstrated whereby a flexible, arrayed thin-film X-ray detector with record X-ray sensitivities among flexible radiation detectors (S = (9.0 +/- 0.4) x 10(7) mu C Gy(-1) cm(-3)) is developed. The excitonic peaks responsible for the activation of the PG effect are investigated and identified using a novel technique called photocurrent spectroscopy optical quenching, and the analysis of the changes in trap states is further demonstrated

Development of RAPD based markers for wheat rust resistance gene cluster (Lr37-Sr38-Yr17) derived from Triticum ventricosum L.

Rust diseases are the major cause of low yield of wheat in Pakistan. Wheat breeders all over the world as well as in Pakistan are deriving rust resistance genes from alien species like Triticum ventricosumand introducing them in common wheat (Triticum aestivum). One such example is the introgression of rust resistance gene cluster Lr37-Sr38-Yr17 derived from T. ventricosum chromosome 2NS into thecommon wheat. A basic prerequisite to introduce alien rust resistance gene (like those present on 2NS segment) in locally adapted varieties is availability of a suitable marker system which can be used tokeep track of presence of newly added gene in the old background. In this present study, one hundred and fifty Randomly Amplified Polymorphic DNA (RAPD) primers were used to detect polymorphismbetween two near isogenic lines NILs (Anza and Anza+2NS) of wheat and to develop RAPD based molecular markers for rust resistance gene cluster derived from T. ventricosum. Polymerase chainreactions were carried out using standard protocols. All the amplification products were in the range of 250 to 1000 bp. Thirteen molecular markers (RAPDs) out of a total of 150 (approximately 8.6%) were developed for rust resistance gene cluster Lr37-Sr38-Yr17 and recommendations have been made to utilize these markers in Pakistani wheat breeding programs aimed at establishing rust resistantgermplasm

State of air quality in and outside of hospital wards in urban centres – A case study in Lahore, Pakistan

Particulate pollution in healthcare facilities is a potential threat to healthcare workers, patients and visitors. A study was carried out to monitor particulate levels in and outside of five wards of Sheikh Zayed Hospital, a tertiary healthcare facility of Lahore. Measurements indicated that the hourly mean concentrations of PM2.5 in a medical, pulmonology (chest), surgical, pediatric and nephrology ward were 78 ± 37, 86 ± 46, 94 ± 48, 169 ± 122 and 488 ± 314 µg m-3 respectively. The outside levels of PM2.5 of the same wards were 69 ± 27, 81 ± 49, 178 ± 85, 282 ± 164 and 421 ± 240 µg m-3. Indoor levels were higher than outdoors in all the wards except surgical and pediatric ward. Such elevated levels of PM can result in aggravation of the poor health status of the patients as well as affecting the hospital staff and visitors